Multi-Agent Systems - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783030141738, 9783030141745

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Counterfactually Fair Prediction Using Multiple Causal Models

Multi-Agent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-14174-5_17 ◽

2019 ◽

pp. 249-266

Author(s):

Fabio Massimo Zennaro ◽

Magdalena Ivanovska

Keyword(s):

Causal Models

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Generalising the Dining Philosophers Problem: Competitive Dynamic Resource Allocation in Multi-agent Systems

Multi-Agent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-14174-5_3 ◽

2019 ◽

pp. 30-47

Author(s):

Riccardo De Masellis ◽

Valentin Goranko ◽

Stefan Gruner ◽

Nils Timm

Keyword(s):

Resource Allocation ◽

Dynamic Resource Allocation ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Dynamic Resource ◽

Dining Philosophers

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Learning Hedonic Games via Probabilistic Topic Modeling

Multi-Agent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-14174-5_5 ◽

2019 ◽

pp. 62-76 ◽

Cited By ~ 1

Author(s):

Athina Georgara ◽

Thalia Ntiniakou ◽

Georgios Chalkiadakis

Keyword(s):

Topic Modeling ◽

Probabilistic Topic Modeling ◽

Hedonic Games

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Towards Online Electric Vehicle Scheduling for Mobility-On-Demand Schemes

Multi-Agent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-14174-5_7 ◽

2019 ◽

pp. 94-108

Author(s):

Ioannis Gkourtzounis ◽

Emmanouil S. Rigas ◽

Nick Bassiliades

Keyword(s):

Electric Vehicle ◽

Vehicle Scheduling ◽

On Demand

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Partial and Full Goal Satisfaction in the MUSA Middleware

Multi-Agent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-14174-5_2 ◽

2019 ◽

pp. 15-29 ◽

Cited By ~ 1

Author(s):

Massimo Cossentino ◽

Luca Sabatucci ◽

Salvatore Lopes

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Interpreting Information in Smart Environments with Social Patterns

Multi-Agent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-14174-5_4 ◽

2019 ◽

pp. 48-61

Author(s):

Rubén Fuentes-Fernández ◽

Jorge J. Gómez-Sanz

Keyword(s):

Smart Environments ◽

Social Patterns

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Towards Fully Probabilistic Cooperative Decision Making

Multi-Agent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-14174-5_11 ◽

2019 ◽

pp. 156-171

Author(s):

Miroslav Kárný ◽

Zohreh Alizadeh

Keyword(s):

Decision Making ◽

Cooperative Decision Making

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Two-Sided Markets: Mapping Social Welfare to Gain from Trade

Multi-Agent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-14174-5_8 ◽

2019 ◽

pp. 109-126

Author(s):

Rica Gonen ◽

Ozi Egri

Keyword(s):

Social Welfare ◽

Two Sided Markets

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Markov Chain Monte Carlo for Effective Personalized Recommendations

Multi-Agent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-14174-5_13 ◽

2019 ◽

pp. 188-204

Author(s):

Michail-Angelos Papilaris ◽

Georgios Chalkiadakis

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo

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Endorsement in Referral Networks

Multi-Agent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-14174-5_12 ◽

2019 ◽

pp. 172-187 ◽

Cited By ~ 1

Author(s):

Ashiqur R. KhudaBukhsh ◽

Jaime G. Carbonell

Keyword(s):

Referral Networks

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Multi-Agent Systems - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Counterfactually Fair Prediction Using Multiple Causal Models

Generalising the Dining Philosophers Problem: Competitive Dynamic Resource Allocation in Multi-agent Systems

Learning Hedonic Games via Probabilistic Topic Modeling

Towards Online Electric Vehicle Scheduling for Mobility-On-Demand Schemes

Partial and Full Goal Satisfaction in the MUSA Middleware

Interpreting Information in Smart Environments with Social Patterns

Towards Fully Probabilistic Cooperative Decision Making

Two-Sided Markets: Mapping Social Welfare to Gain from Trade

Markov Chain Monte Carlo for Effective Personalized Recommendations

Endorsement in Referral Networks

Multi-Agent Systems - Lecture Notes in Computer Science
Latest Publications